Individual skill
skypilot-multi-cloud-orchestration
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.
backend/cli/skills/cloud-compute/skypilot/SKILL.md
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- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- infrastructure Declared skill tag
- multi-cloud Declared skill tag
- synthetic-sciencestion Declared skill tag
- gpu Declared skill tag
- cost-optimization Declared skill tag
- skypilot Declared skill tag
- devops Derived category
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# SkyPilot Multi-Cloud Synthetic Sciencestion
Comprehensive guide to running ML workloads across clouds with automatic cost optimization using SkyPilot.
## When to use SkyPilot
**Use SkyPilot when:**
- Running ML workloads across multiple clouds (AWS, GCP, Azure, etc.)
- Need cost optimization with automatic cloud/region selection
- Running long jobs on spot instances with auto-recovery
- Managing distributed multi-node training
- Want unified interface for 20+ cloud providers
- Need to avoid vendor lock-in
